import pymysql 
import pandas as pd
import pymysql.cursors


class MysqlUtils(object):
    """数据工具类
    
    """
    
    def __init__(self):
        self.conn=pymysql.connect(
            host='localhost',
            user='root',
            password='123456',
            db='scenic',
            port=3306,
            charset='utf8mb4'
        )
        
    def get_scenic_data(self):
        cursor = self.conn.cursor(cursor=pymysql.cursors.Dictcursor)
        sql = """
        
        SELECT order_id, age, user_count, id_no, user_name, phone FROM (SELECT o.id as order_id, u.id_no, u.user_name, u.phone,
        case
            when length(u.id_no) = 18 THEN YEAR(now()) - CAST(SUBSTR(u.id_no,7, 4) as signed)
            else NULL
                end as age,
            (SELECT count(*) FROM ticket_order_user_rel WHERE order_id = o.id) as user_count
            FROM ticket_order o JOIN ticket_order_user_rel u on u.order_id = o.id WHERE u.id_no is not null and u.id_no != ''
        ) as subquery
        WHERE user_count = 1 and (age < 18 or age >=60)
        """
        
        cursor.execute(sql)
        ret = cursor.fetchall()
        df = pd.DataFrame(ret)
        print(df.head)
        df.to_csv('./outlier/scenic_data.csv')
        
if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_scenic_data()
    